Prolate spheroids settling in a quiescent fluid: clustering, microstructures and collisions
Xinyu Jiang, Chunxiao Xu, Lihao Zhao

TL;DR
This study uses direct numerical simulation to explore how prolate spheroids settle in a fluid, revealing non-monotonic velocity behavior, clustering effects, microstructure formation, and collision dynamics across different particle concentrations.
Contribution
It provides new insights into the sedimentation behavior, clustering, and collision mechanisms of prolate spheroids in quiescent fluids, highlighting the effects of volume fraction and wake interactions.
Findings
Maximum clustering occurs at 1% volume fraction.
Clustered particles preferentially sample downward flows, enhancing settling.
Collision rates decrease with increasing particle concentration.
Abstract
In this study, we investigate the sedimentation of prolate spheroids in a quiescent fluid by means of the particle-resolved direct numerical simulation. With the increase of the particle volume fraction from to , we observe a non-monotonic variation of the mean settling velocity of particles, . By virtue of the Voronoi analysis, we find that the degree of particle clustering is highest when reaches the local maximum at . Under the swarm effect, clustered particles are found to preferentially sample downward fluid flows in the wake regions, leading to the enhancement of the settling speed. As for lower or higher volume fraction, the tendency of particle clustering and the preferential sampling of downward flows are attenuated. Hindrance effect becomes predominant when the volume fraction exceeds 5\% and reduces…
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Taxonomy
TopicsParticle Dynamics in Fluid Flows
